The purpose of this study was to determine the relative strength of various cepstral- and spectral-based measures for predicting dysphonia severity and differentiating voice quality types.
Finally, our ROC curves showed that a model based on WC and BF% was the best combination of anthropomorphic measures for predicting HOMA-IR, having the largest area under the curve (AUC), with a value of 0.816.
Recent population based studies have shown that WC rather than BMI might be a better measure for predicting mortality in those with CKD [ 9].
Studies have applied LiDAR to extrapolate plot-level measures of forest biomass and C across forest landscapes [27, 29], demonstrating the utility of area-based modeling methods for predicting (and mapping) current conditions.
Studies have applied LiDAR to extrapolate plot-level measures of forest biomass and C across forest landscapes [ 27, 29], demonstrating the utility of area-based modeling methods for predicting (and mapping) current conditions.
In Table 6, we show parameter estimates based on weighted logistic models for predicting clinically measured HBP from self-reported HBP, using the NHANES urban sample.
Ways to measure the extent of interdiffusion and mathematical equations for predicting these measures are given.
New regression equations for predicting thermal conductivity based on easily measured quantities such as penetration resistance and water content or air-filled porosity are presented.
We developed models on Pyrimidine for predicting Pyrimidine based inhibitors.
An accurate method for predicting corrosion behaviour based on chloride levels measured non-destructively by PGAA would improve the assessment of risk for archaeological iron in museum collections and provide an evidence base for storage and management strategies.
Furthermore, by varying the threshold on the matching score, we show in Figure 6 the F-measure graphs based on protein clusters predicted for various protein interaction networks.
